Efficient Design of Distribution Logistics by Using a Model-Based Decision Support System
The design of distribution logistics has a decisive impact on a company's logistics costs and performance. Hence, such solutions make an essential contribution to corporate success. This article describes a decision support system for analyzing the potential of distribution logistics in terms of logistics costs and performance. In contrast to previous procedures of business process re-engineering (BPR), this method maps distribution logistics holistically under variable distribution structures. Combined with qualitative measures the decision support system will contribute to a more efficient design of distribution logistics.
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 R. Handfield, F. Straube, H.-C. Pfohl, A. Wieland, Trends and Strategies in Logistics and Supply Chain Management: Embracing Global Logistics Complexity to Drive Market Advantage, DVV Media Group GmbH, Bremen, 2013.
 M. Hammer, J. Champy, Reengineering the corporation: A manifesto for business revolution, firstst ed., HarperBusiness, New York, NY, 1993.
 R.P. Mohanty, S.G. Deshmukh, Reengineering of a supply chain management system: a case study, Production Planning & Control 11 (2000) 90–104.
 J.H. Trienekens, H.-H. Hvolby, Models for supply chain reengineering, Production Planning & Control 12 (2001) 254–264.
 J.R. Stock, D.M. Lambert, Strategic logistics management, fourth ed, McGraw-Hill/Irwin, Boston, 2001.
 J.D. Müller (Ed.), Delivering tomorrow: Towards sustainable logistics how business innovation and green demand drive a carbon-efficient industry, second. ed, Deutsche Post, Bonn, 2010.
 G.N. Evans, D.R. Towill, M.M. Naim, Business process re-engineering the supply chain, Production Planning & Control 6 (1995) 227–237.
 P. O'Neill, A.S. Sohal, Business Process Reengineering A review of recent literature, Technovation 19 (1999) 571–581.
 M. Al-Mashari, Irani, Zahir, Zairi, Mohamed, Business process reengineering: a survey of international experience, Business Process Management Journal 7 (2001) 437–455.
 D.L. Applegate, R.E. Bixby, V. Chvatal, W.J. Cook, The traveling salesman problem: a computational study, Princeton University Press, 2011.
 G. Gutin, A.P. Punnen, The traveling salesman problem and its variations, Springer Science & Business Media, 2002.
 M. Schmidt, W. Hartmann, P. Nyhuis, Simulation based comparison of safety-stock calculation methods, CIRP Annals - Manufacturing Technology 61 (2012) 403–406.
 R.N. Boute, S.M. Disney, M.R. Lambrecht, B. van Houdt, A win–win solution for the bullwhip problem, Production Planning & Control 19 (2008) 702–711.
 X. Zhao, F. Lai, T.S. Lee, Evaluation of safety stock methods in multilevel material requirements planning (MRP) systems, Production Planning & Control 12 (2001) 794–803.
 G. Campbell, Establishing safety stocks for master production schedules, Production Planning & Control 6 (1995) 404–412.
 B.P. Zeigler, H. Praehofer, T.G. Kim, Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems, Academic press, 2000.
 R. Bandinelli, M. Rapaccini, M. Tucci, F. Visintin, using simulation for supply chain analysis: reviewing and proposing distributed simulation frameworks, Production Planning & Control 17 (2006) 167–175.
 S. Umeda, F. Zhang, Supply chain simulation: generic models and application examples, Production Planning & Control 17 (2006) 155–166.
 J.P.C. Kleijnen, Supply chain simulation tools and techniques: a survey, International Journal of Simulation and Process Modelling 1 (2005) 82–89.
 M. Goetschalckx, C.J. Vidal, K. Dogan, Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms, European journal of operational research 143 (2002) 1–18.
 P. Nyhuis, G. von Cieminski, A. Fischer, K. Feldmann, Applying simulation and analytical models for logistic performance prediction, CIRP Annals-Manufacturing Technology 54 (2005) 417–422.
 J. Becker, P. Nyhuis, The Production Logistic Theory as an Integral Part of a Theory of Production Technology, in: C. Brecher (Ed.), Advances in Production Technology, Springer International Publishing, Cham, 2015, pp. 25–36.
 P. Nyhuis, H.-P. Wiendahl, Fundamentals of production logistics: Theory, tools and applications, Springer, Berlin, 2009.
 P. Fronia, Modellgestützte Potenzialanalyse der Distributionslogistik, PZH-Verlag, Garbsen, 2015.
 J. Becker, P. Fronia, P. Nyhuis, A Model-Based Method for Assessing Potentials in Distribution Logistics, Journal of CENTRUM Cathedra: The Business and Economics Research Journal 8 (2015) 45–56.
 A.P. Sage, Systems engineering, Wiley, New York, 1992.
 P. Nyhuis, C. Wolter, Quantifying the Rationalization Potential in Logistics through Supply Chain Design, Performance Measurement for Increased Competitiveness (2002) 14–23.
 H.-P. Wiendahl, J. Reichardt, P. Nyhuis, Handbook Factory Planning 2015.